In this article, we provide you with a few hints on how to choose your stack to build a confidential AI workload leveraging GPUs. This protection is meant to safeguard data privacy and model weights confidentiality.
Apple has announced Private Cloud Compute (PCC), which uses Confidential Computing to ensure user data privacy in cloud AI processing, setting a new standard in data security.
Discover confidential computing with our tutorials. Fill the knowledge gap, become proficient in secure enclaves, and craft applications with their strengths. Join us to become a Confidential Computing wizard! Dive into our content and start your journey today.
How we partnered with Tramscribe to leverage LLMs deal with Medical voice notes analysis
We take security and open-source data privacy seriously at Mithril Security. So we're very proud that our historical confidential computing solution, BlindAI, was successfully audited by Quarkslab!
How we partnered with Avian to deploy sensitive Forensic services thanks to Zero Trust Elastic search.
If you’re wondering what the benefits and weaknesses of differential privacy, confidential computing, federated learning, etc are, and how they can be combined to improve artificial intelligence and data privacy, you’ve come to the right place.
Mithril Security joins the Confidential Computing Consortium to accelerate open-source privacy friendly AI
Discover how BlindAI Cloud enables you to deploy and query AI models with privacy, just from 2 lines of Python code. Try our solution with the deployment of a ResNet model.
Deep dive into the data-in-use protection mechanisms of secure enclaves
An introduction to remote attestation, which is the key to trust a remote enclave.
An introduction to Confidential Computing and the problems it solves